Reference
A. Hegyi, B. De Schutter, S. Hoogendoorn, R. Babuška, H. van Zuylen, and
H. Schuurman, "A fuzzy decision support system for traffic control centers,"
Proceedings of the 2001 IEEE Intelligent Transportation
Systems Conference (ITSC'01), Oakland, California, pp. 358-363, Aug.
2001.
Abstract
We present a fuzzy decision support system that can be used in traffic control
centers to provide a limited list of appropriate combinations of traffic
control measures for a given traffic situation. The system is part of a larger
traffic decision support system (TDSS) that can assist the operators of traffic
control centers when they have to reduce non-recurrent congestion using a
network-wide approach. The kernel of the system is a fuzzy case base that is
constructed using simulated scenarios. By using the case base and fuzzy
interpolation the decision support system generates a ranked list of
combinations of traffic control measures. The best combinations can then be
examined in more detail by other modules of the TDSS that evaluate or predict
their performance using macroscopic or microscopic traffic simulation. At a
later stage the fuzzy decision system will be complemented with an adaptive
learning feature and with a set of fuzzy rules that incorporate heuristic
knowledge of experienced traffic operators.
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BibTeX
@inproceedings{HegDeS:00-09,
author = {Hegyi, Andreas and De Schutter, Bart and Hoogendoorn, Serge and
Babu{\v{s}}ka, Robert and van Zuylen, Henk and Schuurman,
Henk},
title = {A Fuzzy Decision Support System for Traffic Control Centers},
booktitle = {Proceedings of the 2001 IEEE Intelligent Transportation Systems
Conference (ITSC'01)},
address = {Oakland, California},
pages = {358--363},
month = aug,
year = {2001}
}